Group items tagged

now brands can serve up ads to users based on the content they're actually tweeting.

keyword-based advertising

advertisers can buy specific keywords to target certain users. "For example: let’s say a user tweets about enjoying the latest album from their favorite band, and it so happens that band is due to play a concert at a local venue," Malhotra explained. "That venue could now run a geotargeted campaign using keywords for that band with a tweet containing a link to buy the tickets. That way, the user who tweeted about the new album may soon see that Promoted Tweet in their timeline letting them know tickets are for sale in their area."

Twitter has confirmed our scoop with the announcement of Tailored Audiences - its name for retargeted ads. Available globally to all advertisers via a slew of adtech startup partners, advertisers will be able to target recent visitors to their websites with retargeted Promoted Tweets and Promoted Accounts.

Twitter’s users are on mobile. Seventy percent of its ad revenue already comes from the small screens, and it likely follows that a majority of engagement is on mobile, too.

retargeting happens like this. You visit a website, say a travel booking site, and look at a page for buying a flight to Hawaii. You chicken out at the last minute, don’t buy, and navigate away, but the site has dropped a cookie for that Hawaii flight page on your browser. Then, when you visit other sites or social networks that run retargeted ads, they detect that cookie, and the travel site can show you an ad saying “It’s cold in SF. Wouldn’t a vacation to Hawaii be nice?” to try to get you to pull the trigger and buy the flight it knows you were already interested in. But without cookies on mobile, you can’t retarget there… …unless you can tie the identity of a mobile user to what they do on the computer. And Twitter can. It’s one of the few hugely popular services that individuals access from multiple types of devices.

you need writers and team members who can think strategically about the content that will resonate most with your audience.

Search for people asking questions about your keyword or phrase on Twitter.

“Content curation is not about collecting links or being an information packrat, it is more about putting them into a context with organization, annotation and presentation.  Content curators provide a customized, vetted selection of the best and most relevant resources on a very specific topic or theme.”

The keywords that visitors searched are usually captured in the case of search engine referrals. This is true for both organic and paid search. If the a visitor is signed in to a Google account, however, Keyword will have the value “(not provided)”.

As the number of Internet-enabled consumer devices continues to grow, so does the propensity of consumers to sequentially use multiple devices to complete a single online task. In fact, according to a new study from Google, 90 percent of people move among devices to accomplish a goal.

Examples of how consumers sequentially use multiple devices for a single task include opening an email on a smartphone and then finishing reading it on a home PC and looking up product specs on a laptop after seeing a TV commercial

The other primary way of using multiple devices is simultaneous use, meaning using more than one device at the same time. This includes both multitasking — performing different tasks on different devices — and complementary usage such as looking up a product online while watching a TV commercial.

in 2010, Google did something very different. Google announced website speed would begin having an impact on search ranking. Now, the speed at which someone could view the content from a search result would be a factor.

Google's Matt Cutts announced that slow-performing mobile sites would soon be penalized in search rankings as well.

While Google has been intentionally unclear in which particular aspect of page speed impacts search ranking, they have been quite clear in stating that content relevancy remains king.

Gone are the days when you could stuff your website with low-quality articles packed with the right keywords or link spam exchanges to boost your Google rankings. Today the game is all about quality--content that’s authentic, informative, and, most of all, attractive to your intended audience. In short, we need to stop thinking about SEO as “search engine optimization” and more as “social engagement optimization,” as Greg Henderson at SEO Desk put it.

The brain notices how you begin and how you end more than what you’re saying in the middle, so you want to make sure that your site (and your content) has an attention-getting open and a close that really makes your case in dramatic fashion.

focus on quick ways to sum up how your product or service can change the customer’s life for the better.

Essentially what Facebook is doing here is making users pay to improve their EdgeRank score for individual status updates, the system that Facebook uses to determine how high individual stories appear in the news feed

It is really not all that different from how Google has structured its own business, where companies or individuals can pay for keywords to appear as advertisements in search results. The difference is that Google’s search engine is a much more impersonal mechanisms than is the Facebook news feed.

Where Facebook is making a mistake is in crossing the bridge between paid sponsored posts for businesses and applying it to individuals

For the study 353 volunteers were asked to submit adjectives they associated with coolness. Surprisingly, the word "friendly" topped the list, followed by "personal competence."

This ranking positioned socially skilled, popular, smart, and talented people as being the ultimate in cool; individualist hipsters featured lower on the list. Bar-Ilan concluded: "Coolness has lost so much of its historical origins and meaning." That is: rebels are not hot. Or cool.

Another attribute figured prominently in this recent study: physical attractiveness. The prominence of "good looks" in the study echoes the results of work I carried out for my most recent book, Brandwashed. During my $3 million study into the way word-of-mouth works, I asked a family of five to secretly promote brands to a cadre of their friends, family members and colleagues. During this experiment, I learned that the key to the family’s success was neither their extensive network, nor their gift of the gab; it was their good looks.

The major takeaways from Google Panda and update (in no particular order) are as follows: Focus on original content – you will get hammered for “stealing” or repurposing on too high a scale (for example, lifting content from Wikipedia) Over-optimization kills – Google can sniff out sites that are designed solely to exploit certain key words (for example, repeating the same keyword, or variations thereof to drive traffic) Link to high quality/authoritative sites – while Panda focused more on a more systematic sweep of SEO, Penguin is focused on the processes around linking. Don’t over-link, and when you do create links, link to high quality sources Excessive Ads are Bad – If it looks like you are running too many ads against your content, you will face the consequences SEO is a “Bad Word” – The rise of the term “content marketing” effectively means that high quality content trumps low quality link bait.

Write Guest Blog Posts for Authoritative SitesContent marketing does not just refer to content you write for your own site, but content you write for other sites.

content marketing also improves SEO rankings and traffic.  Link building is a common SEO strategy that is always difficult to grow through a paid channel.  The best way to get organic and quality links is by creating interesting content that drives people to link and share your content.  Whether or not it’s directly related to your line of business, driving free traffic is always a victory.

79 percent of our test users always scanned any new page they came across; only 16 percent read word-by-word. (Update: a newer study found that users read email newsletters even more abruptly than they read websites.)

Web pages have to employ scannable text, using highlighted keywords (hypertext links serve as one form of highlighting; typeface variations and color are others) meaningful sub-headings (not "clever" ones) bulleted lists one idea per paragraph (users will skip over any additional ideas if they are not caught by the first few words in the paragraph) the inverted pyramid style, starting with the conclusion half the word count (or less) than conventional writing

Two years ago, the two greatest Jeopardy champions of all time got obliterated by a computer called Watson. It was a great victory for artificial intelligence--the system racked up more than three times the earnings of its next meat-brained competitor. For IBM’s Watson, the successor to Deep Blue, which famously defeated chess champion Gary Kasparov, becoming a Jeopardy champion was a modest proof of concept. The big challenge for Watson, and the goal for IBM, is to adapt the core question-answering technology to more significant domains, like health care. WatsonPaths, IBM’s medical-domain offshoot announced last month, is able to derive medical diagnoses from a description of symptoms. From this chain of evidence, it’s able to present an interactive visualization to doctors, who can interrogate the data, further question the evidence, and better understand the situation. It’s an essential feedback loop used by diagnosticians to help decide which information is extraneous and which is essential, thus making it possible to home in on a most-likely diagnosis. WatsonPaths scours millions of unstructured texts, like medical textbooks, dictionaries, and clinical guidelines, to develop a set of ranked hypotheses. The doctors’ feedback is added back into the brute-force information retrieval capabilities to help further train the system.

For Watson, ingesting all 2.5 million unstructured documents is the easy part. For this, it would extract references to real-world entities, like corporations and people, and start looking for relationships between them, essentially building up context around each entity. This could be connected out to open-entity databases like Freebase, to provide even more context. A journalist might orient the system’s “attention” by indicating which politicians or tax-dodging tycoons might be of most interest. Other texts, like relevant legal codes in the target jurisdiction or news reports mentioning the entities of interest, could also be ingested and parsed. Watson would then draw on its domain-adapted logic to generate evidence, like “IF corporation A is associated with offshore tax-free account B, AND the owner of corporation A is married to an executive of corporation C, THEN add a tiny bit of inference of tax evasion by corporation C.” There would be many of these types of rules, perhaps hundreds, and probably written by the journalists themselves to help the system identify meaningful and newsworthy relationships. Other rules might be garnered from common sense reasoning databases, like MIT’s ConceptNet. At the end of the day (or probably just a few seconds later), Watson would spit out 100 leads for reporters to follow. The first step would be to peer behind those leads to see the relevant evidence, rate its accuracy, and further train the algorithm. Sure, those follow-ups might still take months, but it wouldn’t be hard to beat the 15 months the ICIJ took in its investigation.